Opportunities For Jobs In Data Science Where You Can Work From Home

Data science has the potential to optimise marketing strategies while simultaneously enhancing business processes. The importance of this fast-growing field of study is being recognised in various industries as more than 2.5 quintillion bytes of data is being created every day globally. Thus, one of the main reasons behind the soaring demand for professionals in data science is the need to streamline this enormous amount of data efficiently.

The dynamism of data science is such that Harvard Business Review described it as the “Sexiest Job of the 21st Century”. So, if you are looking to enter the vast world of high-paid data science jobs, then you can enrol yourself in data science courses to master the discipline and skyrocket your career.

Jobs in data science where you can work from home (WFH) act as a wonderful opportunity for skilled professionals looking for virtual work. Let’s take a look at some of the data science jobs which you can take up remotely.

  • Data Scientist

The role of a data scientist requires you to have a strong mathematical and statistical ability combined with knowledge of high-level analytical tools to interpret large data. It is one the primary job functions of a company, which can be easily done at home. To become a data scientist, get a degree in computer science, social sciences, or statistics as these courses will help you learn the skills required to manage big data. While working with a team of engineers, you’ll be responsible for analysing digital data to make organisational goals and decisions. An experience in working on data analysing software is a must for this job which can be undertaken from home.

  • Data Analyst

The job of a data analyst requires you to filter vast volumes of unstructured data and interpret valuable insights concealed within the information with visualisation techniques. In fact, data visualization and data wrangling are the two most basic job responsibilities of a data analyst. Being a data analyst, you must have a flair for designing, as well as optimising and using complex algorithms, which doesn’t require you to go to an office and work a 9-5 job. A degree in computer science, business, mathematics, economics, or statistics will help you become a successful data analyst, as it’ll help you understand the skills required for data analysing. Moreover, being well-versed with programming languages such as Javascript, R, HTML, Python, SQL, and C++ will be a plus.

  • Statistician

Statistical expertise combined with information on domains such as marketing, actuarial science, and risk is the perfect way to grasp a statistician’s job profile. Since a statistician deals with number majorly, they can easily generate statistical models from big data analysis at the comfort of their home. They are also responsible for collecting, organising, analysing, and interpreting statistical data to identify actionable insights to help transform a business. Other than a degree in maths or statistics, a statistician must also have a sound knowledge of data mining, machine learning, cloud systems and tool. Statisticians should also have an understanding of programming languages such as Python, R, SAS, Perl, and SQL.

  • Data Engineer

Data Engineers study and experiment with large-scale databases and complex processing infrastructures. They are the managers and designers of big data technologies and systems, and their main responsibility is to assure that an organisation’s data infrastructure is free from any loopholes or glitches. To become a data engineer, you must have an educational background in software engineering and understand programming languages  (Python, R, Ruby, Java, C++, Perl, SAS) and data systems such as Hadoop, Hive, Pig, MapReduce, Cassandra, and Data streaming.  It is a great WFH opportunity as data engineers need to develop and maintain data systems so that data analysts and data scientists can operate without any trouble.

  • Machine Learning (ML) Engineer

Being a machine learning engineer, you can work from almost anywhere in the world! All you require is a stable WI-FI connection and a knowledge in computer science, statistics, or other technical domains, and a substantial understanding of mathematical functions behind ML algorithms. As a machine learning engineer, you’ll have to design systems and algorithms that communicate and integrate with other data software ecosystems and components which already exist. A strong foundation in API (application programming interfaces) of varying characteristics such as web APIs, dynamic and static libraries as well as building interfaces will help you overcome the possible changes to the system. Moreover, designing flexible and reliable software requires you to master skills such as analysis and developing test cases.

  • Software Programming Analysts

If you are someone who likes to keep up with the latest technology and wishes to work on a computer remotely, then becoming a software programming analyst is your best option. For becoming a software programming analyst, you should have a degree in computer science or other related field and possess the programming skills to automate tasks related to big data to help decrease computing time. You will also be expected to manage databases and ETL (extract transform learn) tools that can obtain data, modify it and design it in a visual summary illustrations such as histograms, interactive dashboards and pie charts. A number of programming languages such as Python, R, Apache Hive, Hadoop and data analytics and visualisations are a must for a software programming analyst.

So, if you’re looking for a job in data science or any other related field, and wish to work from home, then there are several opportunities not just in technological industries, but also across different sectors such as education, healthcare, computer, sales, and information technology.